Knowledge Graph Architect & Backend Lead

Accenture; Denver (CO); Hybrid; USD 94,000 - 254,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

Accenture is seeking a Back-End Engineer to design, build, and operate the data infrastructure and services that power our AI-driven knowledge platform. You will work across the full back-end stack—architecting APIs, building data pipelines, managing multi-modal database systems, and owning the reliability and performance of the services that application and product teams depend on.

You bring strong engineering fundamentals and are equally comfortable designing a relational schema, tuning a

Qualifications

• Minimum 5 years experience in Knowledge Graph data hydration and ontology-based data mapping, including RDF, SPARQL, and semantic technologies.
• Minimum 5 years experience with graph databases (e.g., StarDog, GraphWise, Neo4J), along with Elasticsearch/OpenSearch. including strong SQL proficiency.
• Minimum 5 years hands-on experience with relational databases (e.g., PostgreSQL, MySQL, or SQL Server), including schema design, indexing, and query optimization.

Responsibilities

• Hydrate structured and semi-structured data into Knowledge Graphs by mapping source data to ontology models.
• Develop data mapping and transformation workflows using R2RML or similar technologies.
• Write and optimize SPARQL queries for graph loading, validation, and retrieval.
• Build and maintain data ingestion pipelines and integrate data from enterprise systems.
• Design and optimize relational database schemas and queries to support efficient graph hydration and ETL workflows.
• Deploy, configure, and maintain vector database infrastructure for embedding storage, indexing, and semantic retrieval at scale.
• Design and maintain scalable graph query APIs consumed by internal application and product teams.
• Performance-tune graph database queries, indexing strategies, and data access patterns.
• Own containerization, deployment, and monitoring of graph services in cloud environments.
• Ensure data quality, ontology alignment, and secure handling of sensitive data (PII/PHI).
• Collaborate with ontologists, architects, and application teams to support Knowledge Graph implementations.

Skills

Knowledge Graph

SPARQL

Graph Databases

Python

REST APIs

Data Modeling

ETL

Education

Bachelor's degree or equivalent

Tools

GraphDB

Stardog

Neo4j

Pinecone

Weaviate

Milvus

Qdrant

AWS Neptune

Docker

Kubernetes

Job description

Accenture is seeking a Back-End Engineer to design, build, and operate the data infrastructure and services that power our AI-driven knowledge platform. You will work across the full back-end stack—architecting APIs, building data pipelines, managing multi-modal database systems, and owning the reliability and performance of the services that application and product teams depend on.

You bring strong engineering fundamentals and are equally comfortable designing a relational schema, tuning a